<!DOCTYPE html>
<html lang="en">

<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>配置项timeline-时间轴</title>
  <script src="./echarts.js"></script>
  <style lang="css">
    #chart1 {
      width: 1000px;
      height: 650px;
      /* border: 1px solid red; */
      float: left;
    }
  </style>
</head>

<body>
  <div id="chart1"></div>

  <script>
    const myChart1 = echarts.init(document.getElementById('chart1'));
    var dataMap = {};
    function dataFormatter (obj) {
      var pList = ['北京','天津','河北','山西','内蒙古','辽宁','吉林','黑龙江','上海','江苏','浙江','安徽','福建','江西','山东','河南','湖北','湖南','广东','广西','海南','重庆','四川','贵州','云南','西藏','陕西','甘肃','青海','宁夏','新疆'];
      var temp;
      for (var year = 2002; year <= 2011; year++) {
        var max = 0;
        var sum = 0;
        temp = obj[year];
        for (var i = 0, l = temp.length; i < l; i++) {
          max = Math.max(max, temp[i]);
          sum += temp[i];
          obj[year][i] = {
            name: pList[i],
            value: temp[i]
          };
        }
        obj[year + 'max'] = Math.floor(max / 100) * 100;
        obj[year + 'sum'] = sum;
      }
      return obj;
    }
    dataMap.dataGDP = dataFormatter({
      //max : 60000,
      2011: [
        16251.93, 11307.28, 24515.76, 11237.55, 14359.88, 22226.7, 10568.83, 12582,
        19195.69, 49110.27, 32318.85, 15300.65, 17560.18, 11702.82, 45361.85,
        26931.03, 19632.26, 19669.56, 53210.28, 11720.87, 2522.66, 10011.37,
        21026.68, 5701.84, 8893.12, 605.83, 12512.3, 5020.37, 1670.44, 2102.21,
        6610.05
      ],
      2010: [
        14113.58, 9224.46, 20394.26, 9200.86, 11672, 18457.27, 8667.58, 10368.6,
        17165.98, 41425.48, 27722.31, 12359.33, 14737.12, 9451.26, 39169.92,
        23092.36, 15967.61, 16037.96, 46013.06, 9569.85, 2064.5, 7925.58, 17185.48,
        4602.16, 7224.18, 507.46, 10123.48, 4120.75, 1350.43, 1689.65, 5437.47
      ],
      2009: [
        12153.03, 7521.85, 17235.48, 7358.31, 9740.25, 15212.49, 7278.75, 8587,
        15046.45, 34457.3, 22990.35, 10062.82, 12236.53, 7655.18, 33896.65,
        19480.46, 12961.1, 13059.69, 39482.56, 7759.16, 1654.21, 6530.01, 14151.28,
        3912.68, 6169.75, 441.36, 8169.8, 3387.56, 1081.27, 1353.31, 4277.05
      ],
      2008: [
        11115, 6719.01, 16011.97, 7315.4, 8496.2, 13668.58, 6426.1, 8314.37,
        14069.87, 30981.98, 21462.69, 8851.66, 10823.01, 6971.05, 30933.28,
        18018.53, 11328.92, 11555, 36796.71, 7021, 1503.06, 5793.66, 12601.23,
        3561.56, 5692.12, 394.85, 7314.58, 3166.82, 1018.62, 1203.92, 4183.21
      ],
      2007: [
        9846.81, 5252.76, 13607.32, 6024.45, 6423.18, 11164.3, 5284.69, 7104,
        12494.01, 26018.48, 18753.73, 7360.92, 9248.53, 5800.25, 25776.91, 15012.46,
        9333.4, 9439.6, 31777.01, 5823.41, 1254.17, 4676.13, 10562.39, 2884.11,
        4772.52, 341.43, 5757.29, 2703.98, 797.35, 919.11, 3523.16
      ],
      2006: [
        8117.78, 4462.74, 11467.6, 4878.61, 4944.25, 9304.52, 4275.12, 6211.8,
        10572.24, 21742.05, 15718.47, 6112.5, 7583.85, 4820.53, 21900.19, 12362.79,
        7617.47, 7688.67, 26587.76, 4746.16, 1065.67, 3907.23, 8690.24, 2338.98,
        3988.14, 290.76, 4743.61, 2277.35, 648.5, 725.9, 3045.26
      ],
      2005: [
        6969.52, 3905.64, 10012.11, 4230.53, 3905.03, 8047.26, 3620.27, 5513.7,
        9247.66, 18598.69, 13417.68, 5350.17, 6554.69, 4056.76, 18366.87, 10587.42,
        6590.19, 6596.1, 22557.37, 3984.1, 918.75, 3467.72, 7385.1, 2005.42,
        3462.73, 248.8, 3933.72, 1933.98, 543.32, 612.61, 2604.19
      ],
      2004: [
        6033.21, 3110.97, 8477.63, 3571.37, 3041.07, 6672, 3122.01, 4750.6, 8072.83,
        15003.6, 11648.7, 4759.3, 5763.35, 3456.7, 15021.84, 8553.79, 5633.24,
        5641.94, 18864.62, 3433.5, 819.66, 3034.58, 6379.63, 1677.8, 3081.91,
        220.34, 3175.58, 1688.49, 466.1, 537.11, 2209.09
      ],
      2003: [
        5007.21, 2578.03, 6921.29, 2855.23, 2388.38, 6002.54, 2662.08, 4057.4,
        6694.23, 12442.87, 9705.02, 3923.11, 4983.67, 2807.41, 12078.15, 6867.7,
        4757.45, 4659.99, 15844.64, 2821.11, 713.96, 2555.72, 5333.09, 1426.34,
        2556.02, 185.09, 2587.72, 1399.83, 390.2, 445.36, 1886.35
      ],
      2002: [
        4315, 2150.76, 6018.28, 2324.8, 1940.94, 5458.22, 2348.54, 3637.2, 5741.03,
        10606.85, 8003.67, 3519.72, 4467.55, 2450.48, 10275.5, 6035.48, 4212.82,
        4151.54, 13502.42, 2523.73, 642.73, 2232.86, 4725.01, 1243.43, 2312.82,
        162.04, 2253.39, 1232.03, 340.65, 377.16, 1612.6
      ]
    });
    dataMap.dataPI = dataFormatter({
      //max : 4000,
      2011: [
        136.27, 159.72, 2905.73, 641.42, 1306.3, 1915.57, 1277.44, 1701.5, 124.94,
        3064.78, 1583.04, 2015.31, 1612.24, 1391.07, 3973.85, 3512.24, 2569.3,
        2768.03, 2665.2, 2047.23, 659.23, 844.52, 2983.51, 726.22, 1411.01, 74.47,
        1220.9, 678.75, 155.08, 184.14, 1139.03
      ],
      2010: [
        124.36, 145.58, 2562.81, 554.48, 1095.28, 1631.08, 1050.15, 1302.9, 114.15,
        2540.1, 1360.56, 1729.02, 1363.67, 1206.98, 3588.28, 3258.09, 2147, 2325.5,
        2286.98, 1675.06, 539.83, 685.38, 2482.89, 625.03, 1108.38, 68.72, 988.45,
        599.28, 134.92, 159.29, 1078.63
      ],
      2009: [
        118.29, 128.85, 2207.34, 477.59, 929.6, 1414.9, 980.57, 1154.33, 113.82,
        2261.86, 1163.08, 1495.45, 1182.74, 1098.66, 3226.64, 2769.05, 1795.9,
        1969.69, 2010.27, 1458.49, 462.19, 606.8, 2240.61, 550.27, 1067.6, 63.88,
        789.64, 497.05, 107.4, 127.25, 759.74
      ],
      2008: [
        112.83, 122.58, 2034.59, 313.58, 907.95, 1302.02, 916.72, 1088.94, 111.8,
        2100.11, 1095.96, 1418.09, 1158.17, 1060.38, 3002.65, 2658.78, 1780, 1892.4,
        1973.05, 1453.75, 436.04, 575.4, 2216.15, 539.19, 1020.56, 60.62, 753.72,
        462.27, 105.57, 118.94, 691.07
      ],
      2007: [
        101.26, 110.19, 1804.72, 311.97, 762.1, 1133.42, 783.8, 915.38, 101.84,
        1816.31, 986.02, 1200.18, 1002.11, 905.77, 2509.14, 2217.66, 1378, 1626.48,
        1695.57, 1241.35, 361.07, 482.39, 2032, 446.38, 837.35, 54.89, 592.63,
        387.55, 83.41, 97.89, 628.72
      ],
      2006: [
        88.8, 103.35, 1461.81, 276.77, 634.94, 939.43, 672.76, 750.14, 93.81,
        1545.05, 925.1, 1011.03, 865.98, 786.14, 2138.9, 1916.74, 1140.41, 1272.2,
        1532.17, 1032.47, 323.48, 386.38, 1595.48, 382.06, 724.4, 50.9, 484.81, 334,
        67.55, 79.54, 527.8
      ],
      2005: [
        88.68, 112.38, 1400, 262.42, 589.56, 882.41, 625.61, 684.6, 90.26, 1461.51,
        892.83, 966.5, 827.36, 727.37, 1963.51, 1892.01, 1082.13, 1100.65, 1428.27,
        912.5, 300.75, 463.4, 1481.14, 368.94, 661.69, 48.04, 435.77, 308.06, 65.34,
        72.07, 509.99
      ],
      2004: [
        87.36, 105.28, 1370.43, 276.3, 522.8, 798.43, 568.69, 605.79, 83.45,
        1367.58, 814.1, 950.5, 786.84, 664.5, 1778.45, 1649.29, 1020.09, 1022.45,
        1248.59, 817.88, 278.76, 428.05, 1379.93, 334.5, 607.75, 44.3, 387.88,
        286.78, 60.7, 65.33, 461.26
      ],
      2003: [
        84.11, 89.91, 1064.05, 215.19, 420.1, 615.8, 488.23, 504.8, 81.02, 1162.45,
        717.85, 749.4, 692.94, 560, 1480.67, 1198.7, 798.35, 886.47, 1072.91,
        658.78, 244.29, 339.06, 1128.61, 298.69, 494.6, 40.7, 302.66, 237.91, 48.47,
        55.63, 412.9
      ],
      2002: [
        82.44, 84.21, 956.84, 197.8, 374.69, 590.2, 446.17, 474.2, 79.68, 1110.44,
        685.2, 783.66, 664.78, 535.98, 1390, 1288.36, 707, 847.25, 1015.08, 601.99,
        222.89, 317.87, 1047.95, 281.1, 463.44, 39.75, 282.21, 215.51, 47.31, 52.95,
        305
      ]
    });
    dataMap.dataSI = dataFormatter({
      //max : 26600,
      2011: [
        3752.48, 5928.32, 13126.86, 6635.26, 8037.69, 12152.15, 5611.48, 5962.41,
        7927.89, 25203.28, 16555.58, 8309.38, 9069.2, 6390.55, 24017.11, 15427.08,
        9815.94, 9361.99, 26447.38, 5675.32, 714.5, 5543.04, 11029.13, 2194.33,
        3780.32, 208.79, 6935.59, 2377.83, 975.18, 1056.15, 3225.9
      ],
      2010: [
        3388.38, 4840.23, 10707.68, 5234, 6367.69, 9976.82, 4506.31, 5025.15,
        7218.32, 21753.93, 14297.93, 6436.62, 7522.83, 5122.88, 21238.49, 13226.38,
        7767.24, 7343.19, 23014.53, 4511.68, 571, 4359.12, 8672.18, 1800.06,
        3223.49, 163.92, 5446.1, 1984.97, 744.63, 827.91, 2592.15
      ],
      2009: [
        2855.55, 3987.84, 8959.83, 3993.8, 5114, 7906.34, 3541.92, 4060.72, 6001.78,
        18566.37, 11908.49, 4905.22, 6005.3, 3919.45, 18901.83, 11010.5, 6038.08,
        5687.19, 19419.7, 3381.54, 443.43, 3448.77, 6711.87, 1476.62, 2582.53,
        136.63, 4236.42, 1527.24, 575.33, 662.32, 1929.59
      ],
      2008: [
        2626.41, 3709.78, 8701.34, 4242.36, 4376.19, 7158.84, 3097.12, 4319.75,
        6085.84, 16993.34, 11567.42, 4198.93, 5318.44, 3554.81, 17571.98, 10259.99,
        5082.07, 5028.93, 18502.2, 3037.74, 423.55, 3057.78, 5823.39, 1370.03,
        2452.75, 115.56, 3861.12, 1470.34, 557.12, 609.98, 2070.76
      ],
      2007: [
        2509.4, 2892.53, 7201.88, 3454.49, 3193.67, 5544.14, 2475.45, 3695.58,
        5571.06, 14471.26, 10154.25, 3370.96, 4476.42, 2975.53, 14647.53, 8282.83,
        4143.06, 3977.72, 16004.61, 2425.29, 364.26, 2368.53, 4648.79, 1124.79,
        2038.39, 98.48, 2986.46, 1279.32, 419.03, 455.04, 1647.55
      ],
      2006: [
        2191.43, 2457.08, 6110.43, 2755.66, 2374.96, 4566.83, 1915.29, 3365.31,
        4969.95, 12282.89, 8511.51, 2711.18, 3695.04, 2419.74, 12574.03, 6724.61,
        3365.08, 3187.05, 13469.77, 1878.56, 308.62, 1871.65, 3775.14, 967.54,
        1705.83, 80.1, 2452.44, 1043.19, 331.91, 351.58, 1459.3
      ],
      2005: [
        2026.51, 2135.07, 5271.57, 2357.04, 1773.21, 3869.4, 1580.83, 2971.68,
        4381.2, 10524.96, 7164.75, 2245.9, 3175.92, 1917.47, 10478.62, 5514.14,
        2852.12, 2612.57, 11356.6, 1510.68, 240.83, 1564, 3067.23, 821.16, 1426.42,
        63.52, 1951.36, 838.56, 264.61, 281.05, 1164.79
      ],
      2004: [
        1853.58, 1685.93, 4301.73, 1919.4, 1248.27, 3061.62, 1329.68, 2487.04,
        3892.12, 8437.99, 6250.38, 1844.9, 2770.49, 1566.4, 8478.69, 4182.1, 2320.6,
        2190.54, 9280.73, 1253.7, 205.6, 1376.91, 2489.4, 681.5, 1281.63, 52.74,
        1553.1, 713.3, 211.7, 244.05, 914.47
      ],
      2003: [
        1487.15, 1337.31, 3417.56, 1463.38, 967.49, 2898.89, 1098.37, 2084.7,
        3209.02, 6787.11, 5096.38, 1535.29, 2340.82, 1204.33, 6485.05, 3310.14,
        1956.02, 1777.74, 7592.78, 984.08, 175.82, 1135.31, 2014.8, 569.37, 1047.66,
        47.64, 1221.17, 572.02, 171.92, 194.27, 719.54
      ],
      2002: [
        1249.99, 1069.08, 2911.69, 1134.31, 754.78, 2609.85, 943.49, 1843.6,
        2622.45, 5604.49, 4090.48, 1337.04, 2036.97, 941.77, 5184.98, 2768.75,
        1709.89, 1523.5, 6143.4, 846.89, 148.88, 958.87, 1733.38, 481.96, 934.88,
        32.72, 1007.56, 501.69, 144.51, 153.06, 603.15
      ]
    });
    dataMap.dataTI = dataFormatter({
      //max : 25000,
      2011: [
        12363.18, 5219.24, 8483.17, 3960.87, 5015.89, 8158.98, 3679.91, 4918.09,
        11142.86, 20842.21, 14180.23, 4975.96, 6878.74, 3921.2, 17370.89, 7991.72,
        7247.02, 7539.54, 24097.7, 3998.33, 1148.93, 3623.81, 7014.04, 2781.29,
        3701.79, 322.57, 4355.81, 1963.79, 540.18, 861.92, 2245.12
      ],
      2010: [
        10600.84, 4238.65, 7123.77, 3412.38, 4209.03, 6849.37, 3111.12, 4040.55,
        9833.51, 17131.45, 12063.82, 4193.69, 5850.62, 3121.4, 14343.14, 6607.89,
        6053.37, 6369.27, 20711.55, 3383.11, 953.67, 2881.08, 6030.41, 2177.07,
        2892.31, 274.82, 3688.93, 1536.5, 470.88, 702.45, 1766.69
      ],
      2009: [
        9179.19, 3405.16, 6068.31, 2886.92, 3696.65, 5891.25, 2756.26, 3371.95,
        8930.85, 13629.07, 9918.78, 3662.15, 5048.49, 2637.07, 11768.18, 5700.91,
        5127.12, 5402.81, 18052.59, 2919.13, 748.59, 2474.44, 5198.8, 1885.79,
        2519.62, 240.85, 3143.74, 1363.27, 398.54, 563.74, 1587.72
      ],
      2008: [
        8375.76, 2886.65, 5276.04, 2759.46, 3212.06, 5207.72, 2412.26, 2905.68,
        7872.23, 11888.53, 8799.31, 3234.64, 4346.4, 2355.86, 10358.64, 5099.76,
        4466.85, 4633.67, 16321.46, 2529.51, 643.47, 2160.48, 4561.69, 1652.34,
        2218.81, 218.67, 2699.74, 1234.21, 355.93, 475, 1421.38
      ],
      2007: [
        7236.15, 2250.04, 4600.72, 2257.99, 2467.41, 4486.74, 2025.44, 2493.04,
        6821.11, 9730.91, 7613.46, 2789.78, 3770, 1918.95, 8620.24, 4511.97,
        3812.34, 3835.4, 14076.83, 2156.76, 528.84, 1825.21, 3881.6, 1312.94,
        1896.78, 188.06, 2178.2, 1037.11, 294.91, 366.18, 1246.89
      ],
      2006: [
        5837.55, 1902.31, 3895.36, 1846.18, 1934.35, 3798.26, 1687.07, 2096.35,
        5508.48, 7914.11, 6281.86, 2390.29, 3022.83, 1614.65, 7187.26, 3721.44,
        3111.98, 3229.42, 11585.82, 1835.12, 433.57, 1649.2, 3319.62, 989.38,
        1557.91, 159.76, 1806.36, 900.16, 249.04, 294.78, 1058.16
      ],
      2005: [
        4854.33, 1658.19, 3340.54, 1611.07, 1542.26, 3295.45, 1413.83, 1857.42,
        4776.2, 6612.22, 5360.1, 2137.77, 2551.41, 1411.92, 5924.74, 3181.27,
        2655.94, 2882.88, 9772.5, 1560.92, 377.17, 1440.32, 2836.73, 815.32,
        1374.62, 137.24, 1546.59, 787.36, 213.37, 259.49, 929.41
      ],
      2004: [
        4092.27, 1319.76, 2805.47, 1375.67, 1270, 2811.95, 1223.64, 1657.77,
        4097.26, 5198.03, 4584.22, 1963.9, 2206.02, 1225.8, 4764.7, 2722.4, 2292.55,
        2428.95, 8335.3, 1361.92, 335.3, 1229.62, 2510.3, 661.8, 1192.53, 123.3,
        1234.6, 688.41, 193.7, 227.73, 833.36
      ],
      2003: [
        3435.95, 1150.81, 2439.68, 1176.65, 1000.79, 2487.85, 1075.48, 1467.9,
        3404.19, 4493.31, 3890.79, 1638.42, 1949.91, 1043.08, 4112.43, 2358.86,
        2003.08, 1995.78, 7178.94, 1178.25, 293.85, 1081.35, 2189.68, 558.28,
        1013.76, 96.76, 1063.89, 589.91, 169.81, 195.46, 753.91
      ],
      2002: [
        2982.57, 997.47, 2149.75, 992.69, 811.47, 2258.17, 958.88, 1319.4, 3038.9,
        3891.92, 3227.99, 1399.02, 1765.8, 972.73, 3700.52, 1978.37, 1795.93,
        1780.79, 6343.94, 1074.85, 270.96, 956.12, 1943.68, 480.37, 914.5, 89.56,
        963.62, 514.83, 148.83, 171.14, 704.5
      ]
    });
    console.log(298, dataMap)
    myChart1.setOption({
      baseOption: {
        title: {
          subtext: '数据来自国家统计局'
        },
        tooltip: {},
        legend: {},
        grid: {
          top: 80,
          bottom: 100,
        },
        xAxis: {
          data: ['北京', '\n天津', '河北', '\n山西', '内蒙古', '\n辽宁', '吉林', '\n黑龙江', '上海', '\n江苏', '浙江', '\n安徽', '福建', '\n江西', '山东', '\n河南', '湖北', '\n湖南', '广东', '\n广西', '海南', '\n重庆', '四川', '\n贵州', '云南', '\n西藏', '陕西', '\n甘肃', '青海', '\n宁夏', '新疆'],
          axisLabel: {
            interval: 0,
          }
        },
        yAxis: {
          name: 'GDP(亿元)',
          max: 30000,
        },
        timeline: {
          show: true,
          type: 'slider',
          axisType: 'category',
          data: [
            '2002', '2003', '2004', {
              value: '2005',
              label: { position: 'start' },
              tooltip: {
                formatter: '{b} GDP达到了一个高度'
              },
              symbol: 'diamond',
              symbolSize: 16,
            }, '2006', '2007', '2008', '2009', '2010', '2011'
          ],
          currentIndex: 1, // 默认选中
          autoPlay: true,
          rewind: false, // 是否反向播放
          loop: true, // 是否循环
          playInterval: 3000,
          realtime: false, // 拖动的时候是否实时更新
          controlPosition: 'left',
          symbol: 'roundRect',
          symbolSize: 14,
          symbolRotate: 45,
          lineStyle: {
            color: 'gold',
          },
          label: {
            color: 'green',
          },
          itemStyle: { color: 'blue' },
          checkpointStyle: {
            color: 'red',
          },
          controlStyle: {
            show: true,
          },
        },
        series: [
          { name: '第一产业', type: 'bar' },
          { name: '第二产业', type: 'bar' },
          { name: '第三产业', type: 'bar' },
          {
            name: 'GDP占比',
            type: 'pie',
            center: ['75%', '28%'],
            radius: '28%',
          }
        ],
      },
      // 放数据
      options: [
        {
          title: {
            text: '2002全国宏观经济指标'
          },
          series: [
            { data: dataMap.dataPI['2002'] },
            { data: dataMap.dataSI['2002'] },
            { data: dataMap.dataTI['2002'] },
            {
              data: [
                { name: '第一产业', value: dataMap.dataPI['2002sum'] },
                { name: '第二产业', value: dataMap.dataSI['2002sum'] },
                { name: '第三产业', value: dataMap.dataTI['2002sum'] },
              ]
            }
          ]
        },
        {
          title: {
            text: '2003全国宏观经济指标'
          },
          series: [
            { data: dataMap.dataPI['2003'] },
            { data: dataMap.dataSI['2003'] },
            { data: dataMap.dataTI['2003'] },
            {
              data: [
                { name: '第一产业', value: dataMap.dataPI['2003sum'] },
                { name: '第二产业', value: dataMap.dataSI['2003sum'] },
                { name: '第三产业', value: dataMap.dataTI['2008sum'] },
              ]
            }
          ]
        },
        {
          title: {
            text: '2004全国宏观经济指标'
          },
          series: [
            { data: dataMap.dataPI['2004'] },
            { data: dataMap.dataSI['2004'] },
            { data: dataMap.dataTI['2004'] },
            {
              data: [
                { name: '第一产业', value: dataMap.dataPI['2004sum'] },
                { name: '第二产业', value: dataMap.dataSI['2004sum'] },
                { name: '第三产业', value: dataMap.dataTI['2004sum'] },
              ]
            }
          ]
        },
        {
          title: {
            text: '2005全国宏观经济指标'
          },
          series: [
            { data: dataMap.dataPI['2005'] },
            { data: dataMap.dataSI['2005'] },
            { data: dataMap.dataTI['2005'] },
            {
              data: [
                { name: '第一产业', value: dataMap.dataPI['2005sum'] },
                { name: '第二产业', value: dataMap.dataSI['2005sum'] },
                { name: '第三产业', value: dataMap.dataTI['2005sum'] },
              ]
            }
          ]
        },
        {
          title: {
            text: '2006全国宏观经济指标'
          },
          series: [
            { data: dataMap.dataPI['2006'] },
            { data: dataMap.dataSI['2006'] },
            { data: dataMap.dataTI['2006'] },
            {
              data: [
                { name: '第一产业', value: dataMap.dataPI['2006sum'] },
                { name: '第二产业', value: dataMap.dataSI['2006sum'] },
                { name: '第三产业', value: dataMap.dataTI['2006sum'] },
              ]
            }
          ]
        },
        {
          title: {
            text: '2007全国宏观经济指标'
          },
          series: [
            { data: dataMap.dataPI['2007'] },
            { data: dataMap.dataSI['2007'] },
            { data: dataMap.dataTI['2007'] },
            {
              data: [
                { name: '第一产业', value: dataMap.dataPI['2007sum'] },
                { name: '第二产业', value: dataMap.dataSI['2007sum'] },
                { name: '第三产业', value: dataMap.dataTI['2007sum'] },
              ]
            }
          ]
        },
        {
          title: {
            text: '2008全国宏观经济指标'
          },
          series: [
            { data: dataMap.dataPI['2008'] },
            { data: dataMap.dataSI['2008'] },
            { data: dataMap.dataTI['2008'] },
            {
              data: [
                { name: '第一产业', value: dataMap.dataPI['2008sum'] },
                { name: '第二产业', value: dataMap.dataSI['2008sum'] },
                { name: '第三产业', value: dataMap.dataTI['2008sum'] },
              ]
            }
          ]
        },
        {
          title: {
            text: '2009全国宏观经济指标'
          },
          series: [
            { data: dataMap.dataPI['2009'] },
            { data: dataMap.dataSI['2009'] },
            { data: dataMap.dataTI['2009'] },
            {
              data: [
                { name: '第一产业', value: dataMap.dataPI['2009sum'] },
                { name: '第二产业', value: dataMap.dataSI['2009sum'] },
                { name: '第三产业', value: dataMap.dataTI['2009sum'] },
              ]
            }
          ]
        },
        {
          title: {
            text: '2010全国宏观经济指标'
          },
          series: [
            { data: dataMap.dataPI['2010'] },
            { data: dataMap.dataSI['2010'] },
            { data: dataMap.dataTI['2010'] },
            {
              data: [
                { name: '第一产业', value: dataMap.dataPI['2010sum'] },
                { name: '第二产业', value: dataMap.dataSI['2010sum'] },
                { name: '第三产业', value: dataMap.dataTI['2010sum'] },
              ]
            }
          ]
        },
        {
          title: {
            text: '2011全国宏观经济指标'
          },
          series: [
            { data: dataMap.dataPI['2011'] },
            { data: dataMap.dataSI['2011'] },
            { data: dataMap.dataTI['2011'] },
            {
              data: [
                { name: '第一产业', value: dataMap.dataPI['2011sum'] },
                { name: '第二产业', value: dataMap.dataSI['2011sum'] },
                { name: '第三产业', value: dataMap.dataTI['2011sum'] },
              ]
            }
          ]
        },
      ]
    })
  </script>
</body>

</html>